Lead AI engagements end-to-end: discovery, architecture, delivery oversight, executive updates, and knowledge transfer.
Serve as the primary technical point of contact for client stakeholders, including VPs, CIOs, and CTOs.
Architect agentic systems, RAG pipelines, and AI-augmented workflows across the Microsoft, OpenAI, and Anthropic ecosystems.
Build and maintain the reference architectures, skills, prompts, and MCP servers the team reuses across clients.
Help shape our growing OpenAI and Anthropic practices alongside our Microsoft work.
Pair with delivery leads and engineers on the hard parts — review designs, debug production issues, sharpen evals and guardrails.
Translate between executive strategy and engineering reality.

8+ years of enterprise software, data, or AI architecture experience, including at least 2 years architecting and shipping generative AI or agentic systems to production.
Demonstrated leadership of complex, multi-stakeholder AI or software initiatives as the senior technical owner.
Excellent stakeholder communication — written and verbal, to technical and executive audiences.
Hands-on proficiency with the Azure AI stack: Azure OpenAI, Azure AI Foundry / AI Studio, AI Search.
Hands-on proficiency with the OpenAI platform: Responses API, Agents SDK, function calling, structured outputs, and evals.
Hands-on proficiency with the Anthropic platform: Claude API, tool use, Claude Agent SDK, MCP, and skills.
Microsoft Certified — Azure AI Engineer Associate and Azure Solutions Architect Expert or willingness to earn within 90 days of hire.
Strong software engineering fundamentals — you can still read, write, and review code.
Able to work remotely within the United States with reliable overlap for Eastern and Central business hours.

Senior AI Architect

Key skills